Toward the selection of the appropriate e-learning personalization strategy

Abstract

Many recent studies have proposed several e-learning personalization systems that could be used in the learning field. In particular, the divergence of the personalization parameters used in the literature makes the selection of the appropriate personalization strategy to apply for a given course complicated. Therefore, this paper presents a web-based system which aims to help teachers select the appropriate combination of personalization parameters for a personalization strategy for a given course. The selection process made by the system is based on Dynamic Programming. Thirty one student-teachers participated in evaluating the system using Technology Acceptance Model (TAM) questionnaire. The obtained results were very promising where the student-teachers revealed a high perceived ease of use and usefulness toward the system. Besides, they reported that they are willing to use the system in the future to select the appropriate personalization strategy of a given course.